Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer

Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer

Given the complexity and dynamic nature of short-term load sequence data, coupled with prevalent errors in traditional forecasting methods, this study introduces a novel approach for short-term load forecasting. The method integrates multi-frequency sequence feature analysis and multi-point correcti...

Full description

Saved in:
Bibliographic Details
Main Authors: Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Energy Research
Subjects:
short-term load forecasting
FEDformer
VMD
time series forecasting
lightgbm
multi-point modify
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1524319/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2024.1524319/full

Similar Items